Oracle Autonomous Database Workshop 2024 ELS

Course Description

Oracle Autonomous Database Workshop 2024 ELS develops hands-on understanding of Autonomous Database concepts, licensing, infrastructure, workload selection, SQL Developer, Database Actions, data loading. The course emphasizes how Oracle features behave together, what must be decided before configuration begins, and how practitioners can prove that a result is correct and supportable.

Advanced activities address APEX, automatic indexing, machine learning, monitoring, Security, backup and recovery, maintenance. Learners inspect provisioned database and connectivity verification, working development workspace and data-load report, application prototype and workload performance record, workshop validation pack and operating checklist to judge completeness, reliability, access, performance, and readiness for operational ownership.

The course outcome is the ability to support a hands-on Autonomous Database implementation covering provisioning, data access, development tools, security, monitoring, and automation. Learners finish with a prioritised improvement plan covering unresolved risks, operational measures, recovery actions, and accountable owners.

What You Will Learn

• Explain how Autonomous Database concepts, licensing, and infrastructure establish the operating foundation and shape later configuration decisions.
• Configure workload selection, provisioning, and connectivity, then confirm readiness through provisioned database and connectivity verification rather than relying on screen messages alone.
• Execute a controlled workflow covering SQL Developer, Database Actions, and data loading, preserving input traceability, approvals, and the resulting changes.
• Read working development workspace and data-load report to isolate schema privileges insufficient for a required development task, separate symptoms from causes, and select a correction that can be safely retested.
• Integrate APEX, automatic indexing, and machine learning with ownership, access, and downstream process expectations.
• Challenge monitoring, scaling, and performance exploration using normal and boundary cases, then defend the outcome with application prototype and workload performance record.
• Investigate a cloned environment retaining credentials intended only for the source by reviewing Security, backup and recovery, and maintenance before applying a reversible fix.
• Prepare workshop validation pack and operating checklist that demonstrates cost awareness, governance, and workshop handover and supports handover, monitoring, and the next improvement decision.

SkillDynamo Training Approach

The learning method blends demonstrations, controlled exercises, realistic exceptions, data and access checks, diagnostic reasoning, review checkpoints, and an end-of-course action plan. Outputs are documented so another practitioner can repeat the test and understand the decision trail.